Network approaches to two-dimensional phase unwrapping: intractability and two new algorithms.

By Curtis W. Chen, Howard Allan Zebker. Journal of The Optical Society of America A-optics Image Science and Vision, 2000

568 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/79479c924ac11d408bc6f7158a85b64137d052f8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Michele Crosetto
2. Zhihui Yuan
3. Yang Lan
4. Hyongki Lee
5. Junyi Xu
6. Hanwen Yu
7. Howard Allan Zebker
8. Curtis W. Chen

In Computer Vision and Pattern Recognition

1. Michele Crosetto
2. Howard Allan Zebker
3. Curtis W. Chen
4. Zhihui Yuan
5. Yang Lan
6. Hyongki Lee
7. Junyi Xu
8. Hanwen Yu

Citations in the corpus

• Phase unwrapping for large SAR interferograms: statistical segmentation and generalized network models (2002, methodology): “The posed optimization problem is NP-hard [10], though, and an exact (globally minimal) solution generally cannot be computed efficiently.”
• High‐resolution interseismic velocity data along the San Andreas Fault from GPS and InSAR (2013, methodology): “Initially, we unwrapped the phase of each interferogram using the SNAPHU software [Chen and Zebker, 2000] (SNAPHU stands for Statistical-Cost, Network-Flow Algorithm for Phase Unwrapping).”
• Phase Unwrapping in InSAR : A Review (2019, methodology): “Specifically, when , p 0 = the L-norm optimization model is an NP-hard problem [51] (the L -norm optimization model can be reduced to the minimum rectilinear Steiner tree problem [42]).”
• Phase Unwrapping via Graph Cuts (2005, background): “Phase unwrapping approaches belong mainly to one of the following classes: path following [17], [22], [23], minimum L p norm [24], [25], [19], [20], [26], [7], Bayesian/regularization [18], [27], [28], [29], [30], [7], [31], [32], and parametric modelling [33], [34].”
• Calibration and validation of SAR interferometry for DEM generation (2002, methodology): “Among the algorithms recently proposed in the literature, an interesting option is represented by the network formulations of phase unwrapping, see Costantini (1998), and Chen and Zebker (2000). Furthermore, the atmospheric effects are modelled by a deterministic approach which uses, and integrates ”